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The Standard Model in the History of the Natural Sciences, Econometrics, and the Social Sciences

机译:自然科学,计量经济学和社会科学史上的标准模型

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摘要

In the late 18th and early 19th centuries, scientists appropriated Newton's laws of motion as a model for the conduct of any other field of investigation that would purport to be a science. This early form of a Standard Model eventually informed the basis of analogies for the mathematical expression of phenomena previously studied qualitatively, such as cohesion, affinity, heat, light, electricity, and magnetism. James Clerk Maxwell is known for his repeated use of a formalized version of this method of analogy in lectures, teaching, and the design of experiments. Economists transferring skills learned in physics made use of the Standard Model, especially after Maxwell demonstrated the value of conceiving it in abstract mathematics instead of as a concrete and literal mechanical analogy. Haavelmo's probability approach in econometrics and R. Fisher's Statistical Methods for Research Workers brought a statistical approach to bear on the Standard Model, quietly reversing the perspective of economics and the social sciences relative to that of physics. Where physicists, and Maxwell in particular, intuited scientific method as imposing stringent demands on the quality and interrelations of data, instruments, and theory in the name of inferential and comparative stability, statistical models and methods disconnected theory from data by removing the instrument as an essential component. New possibilities for reconnecting economics and the social sciences to Maxwell's sense of the method of analogy are found in Rasch's probabilistic models for measurement.
机译:在18世纪末和19世纪初,科学家将牛顿运动定律作为模型进行其他任何声称是科学的研究领域的模型。标准模型的这种早期形式最终为以前定性研究的现象的数学表达提供了类比基础,例如内聚力,亲和力,热,光,电和磁性。 James Clerk Maxwell以在讲课,教学和实验设计中反复使用这种类比方法的形式而闻名。转移物理学知识的经济学家利用了标准模型,尤其是在麦克斯韦(Maxwell)证明用抽象数学来构想它的价值,而不是将其作为具体的和字面的机械类比之后。 Haavelmo的计量经济学中的概率方法和R. Fisher的“研究人员统计方法”带来了一种统计方法,以标准模型为基础,悄悄地逆转了经济学和社会科学相对于物理学的观点。物理学家,特别是麦克斯韦,以推理和比较稳定性的名义将科学方法视为对数据,仪器和理论的质量和相互关系提出了严格的要求,而统计模型和方法则通过将仪器作为一种手段从理论上与数据断开了联系。基本组成部分。在拉什的概率测量模型中发现了重新将经济学和社会科学与麦克斯韦的类比方法联系起来的新可能性。

著录项

  • 来源
  • 会议地点 London(GB);London(GB)
  • 作者

    W P Fisher Jr;

  • 作者单位

    To whom any correspondence should be addressed, Principal and Founder, LivingCapitalMetrics.com 5252 Annunciation St, New Orleans, Louisiana 70115 USA;

  • 会议组织
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物医学工程;
  • 关键词

  • 入库时间 2022-08-26 13:56:13

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